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Evaluating Queries and Updates on Big XML Documents

dc.contributor.authorBidoit, Nicole
dc.contributor.authorColazzo, Dario
dc.contributor.authorMalla, Noor
dc.contributor.authorSartiani, Carlo
dc.date.accessioned2019-09-16T14:41:27Z
dc.date.available2019-09-16T14:41:27Z
dc.date.issued2018
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/19810
dc.language.isoenen
dc.subjectXMLen
dc.subjectCloud computingen
dc.subjectMap/Reduceen
dc.subject.ddc005en
dc.titleEvaluating Queries and Updates on Big XML Documentsen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenIn this paper we present Andromeda, a system for processing queries and updates on large XML documents. The system is based on the idea of statically and dynamically partitioning the input document, so as to distribute the computing load among the machines of a MapReduce cluster.en
dc.relation.isversionofjnlnameInformation Systems Frontiers
dc.relation.isversionofjnlvol20en
dc.relation.isversionofjnlissue1en
dc.relation.isversionofjnldate2018-02
dc.relation.isversionofjnlpages63-90en
dc.relation.isversionofdoi10.1007/s10796-017-9744-4en
dc.subject.ddclabelProgrammation, logiciels, organisation des donnéesen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2019-09-16T14:23:53Z
hal.person.labIds2544
hal.person.labIds989
hal.person.labIds153012
hal.person.labIds262138
hal.identifierhal-02289426*


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